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updated README.md

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@@ -6,17 +6,21 @@ tags:
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  - trl
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  - sft
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  - generated_from_trainer
 
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  model-index:
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  - name: llama-3.2-1B-it-Procurtech-Assistant
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  results: []
 
 
 
 
 
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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  # llama-3.2-1B-it-Procurtech-Assistant
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- This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on [Procurtech Assistant dataset](https://huggingface.co/datasets/Victorano/procurtech-assistant-training-dataset) dataset.
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  ## Model description
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@@ -24,12 +28,12 @@ A cusstomer support model to help customers with their orders, incase they encou
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  ## Intended uses & limitations
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- The training dataset can be modified, see original at [customer support dataset](https://huggingface.co/bitext/Bitext-customer-support-llm-chatbot-training-dataset) .. I edited the system message with a bit of prompt engineering including additional details about the eCommerce company.
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  You can decide what you want and further fine tune the model...
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  ## Training and evaluation data
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- [Training data](https://huggingface.co/datasets/Victorano/procurtech-assistant-training-dataset), no evaluation data, I evaluate with random prompts...
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  ## Training procedure
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  - trl
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  - sft
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  - generated_from_trainer
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+ - lora
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  model-index:
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  - name: llama-3.2-1B-it-Procurtech-Assistant
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  results: []
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+ datasets:
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+ - Victorano/procurtech-assistant-training-dataset
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+ language:
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+ - en
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+ pipeline_tag: text2text-generation
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  ---
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  # llama-3.2-1B-it-Procurtech-Assistant
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+ This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on [Procurtech Assistant dataset](https://huggingface.co/datasets/Victorano/procurtech-assistant-training-dataset).
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  ## Model description
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  ## Intended uses & limitations
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+ The training dataset can be modified, see original at [customer support dataset](https://huggingface.co/bitext/Bitext-customer-support-llm-chatbot-training-dataset) .. I edited the system message with a bit of prompt engineering, included additional details about the eCommerce company.
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  You can decide what you want and further fine tune the model...
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  ## Training and evaluation data
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+ [Training data](https://huggingface.co/datasets/Victorano/procurtech-assistant-training-dataset), used the complete dataset for training, no evaluation data, I evaluate with random prompts...
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  ## Training procedure
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